Founded by two researchers from MIT, Ferveret reduces the amount of energy and water required to cool the chips that power AI.

Media Lab study shows that, much like how GPS has weakened our navigation skills, AI can make us worse at detecting fake news.

The MIT Ethics of Computing Research Symposium brought together experts and researchers working at the heart of ethical and social impact in technology.

MIT RAISE and Georgia State University announce an initiative to connect universities, community colleges, industry, and government to expand industry-aligned AI training and career pathways.

IAIFI enters its second phase with increased funding, broader ambitions, and a growing community at the frontier of AI and fundamental physics.

MIT researchers use the classic game as a test bed for AI agents, finding a small AI model can outperform the biggest ones at 1 percent of the cost.

The George Peabody Medal is the highest honor bestowed by the Peabody Institute of the Johns Hopkins University.

The new ChartNet training dataset could improve the accuracy of vision-language models that help analyze business trends or interpret scientific figures.

With $25 million investment from the Commonwealth of Massachusetts, MIT to build a new shared-use facility to serve as a statewide quantum toolbox.

A new study of the postwar U.S. shows which kinds of workers historically filled new tech-enabled jobs.

Connor Coley works at the interface of chemistry and machine learning, to discover and design new drug compounds.

MIT faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.

The prestigious fellowship funds graduate studies at Stanford University.

New AI education program from MIT Open Learning debuts with AI-powered personalization and a free introductory course for learners everywhere.

Dimitris Bertsimas and Megan Mitchell discuss the motivation behind Universal Learning, and what sets the new MIT Open Learning educational initiative apart.

MIT economists found US companies tend to target employees earning a “wage premium,” which increases inequality but not necessarily productivity.

Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.

MIT senior Olivia Honeycutt investigates how the ways we communicate can shape our views of the world.

Founded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.

President Sally Kornbluth spoke in front of a packed crowd about growing challenges to the U.S. research ecosystem as funding for America’s top research universities becomes increasingly strained.

A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.

Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.

A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.

The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.

New dataset of 30,000-plus competition math problems from 47 countries gives AI researchers a harder test — and students worldwide a better training ground.

A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.

The associate professors of EECS and chemistry, respectively, are honored for exceptional contributions to teaching, research, and service at MIT.

Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.

As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is reshaping higher education and why SHASS disciplines continue to be central to MIT’s mission.

Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.

As the NC Ethics of Technology Postdoctoral Fellow, Michal Masny is advancing dialogue, teaching, and research into the social and ethical dimensions of new computing technologies.

Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.

Startup accelerator program grows to over 30 companies, almost half of them with MIT pedigrees.

Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.

Dean Price, assistant professor in the Department of Nuclear Science and Engineering, sees a bright future for nuclear power, and believes AI can help us realize that vision.

MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.

By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.

A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

Mariano Salcedo ’25, a master’s student in the new Music Technology and Computation Graduate Program, is designing an AI to visualize and express music and other sounds.

An AI model generates novel proteins based on how they vibrate and move, opening new possibilities for dynamic biomaterials and adaptive therapeutics.

This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.

By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.

An MIT-led team is designing artificial intelligence systems for medical diagnosis that are more collaborative and forthcoming about uncertainty.

Operations research expert Dimitris Bertsimas delivered the annual Killian Lecture, providing a look at the past and future of his work.

Conference speakers discussed the unfolding trajectory of AI and the benefits of shaping technology to meet people’s needs.

Jointly led by the MIT Morningside Academy for Design, MIT Schwarzman College of Computing, and the Hasso Plattner Institute in Potsdam, the hub will foster a dynamic community where computing, creativity, and human-centered innovation meet.

This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.

With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

A new hybrid system could help robots navigate in changing environments or increase the efficiency of multirobot assembly teams.